Remove unused code

helper.py

@@ -1,13 +1,6 @@
-import numpy as np
 import pandas as pd
-import datetime
 from pytz import country_names, country_timezones
 
-month_mapping = {1:'january', 2:'february', 3:'march', 4:'april', 5:'may', 6:'june', 7:'july',
-				 8:'august', 9:'september', 10:'october', 11:'november', 12:'december'}
-month_firstday = {'january':0, 'february':31, 'march':59, 'april':90, 'may':120, 'june':151, 'july':181,
-				'august':212, 'september':243, 'october':273, 'november':304, 'december':334}
-
 countries_eu = ('Albania', 'Andorra', 'Austria', 'Belgium', 'Bosnia and Herzegovina', 'Bulgaria',
 				'Croatia', 'Cyprus', 'Czechia', 'Denmark', 'Estonia', 'Faroe Islands', 'Finland',
 				'France', 'Germany', 'Gibraltar', 'Greece', 'Guernsey', 'Hungary', 'Ireland', 
@@ -28,18 +21,6 @@
 country_add = {'Luzon':'PH'}
 country_names_inv.update(country_add)
 
-def create_calendar_array(df, datacol):
-	"""
-	Create array in the form of calendar (month x days)
-	df 		- pandas DataFrame with dates as index (for only one year!)
-	"""
-	df['month'] = pd.to_datetime(df.index).month
-	df['day'] = pd.to_datetime(df.index).day
-	df_calendar = df.pivot('month','day', datacol)
-	df_calendar.index = pd.CategoricalIndex(df_calendar.index.map(month_mapping), 
-		ordered=True, categories=month_mapping.values())
-	return df_calendar
-
 def print_times_dates(text, df:pd.DataFrame, df_mask, ts='timestamp', verbose=False):
 	print("\n", text)
 	print("times: ", df_mask.sum())